160 lines
4.1 KiB
Python
160 lines
4.1 KiB
Python
#
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# Copyright (c) 2015 Wind River Systems, Inc.
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#
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# SPDX-License-Identifier: Apache-2.0
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#
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import math
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import array
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import datetime
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from nova_api_proxy.common import log as logging
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LOG = logging.getLogger(__name__)
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class Histogram(object):
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"""
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Histogram Object
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"""
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def __init__(self, name, num_buckets):
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self._name = name
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self._num_buckets = num_buckets
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self._created_date = datetime.datetime.now()
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self._reset_date = self._created_date
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self._sample_total = 0
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self._num_samples = 0
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self._average_sample = None
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self._max_sample = -1
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self._max_sample_date = None
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self._buckets = array.array("L", [0] * num_buckets)
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@property
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def name(self):
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"""
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Returns the name of the histogram
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"""
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return self._name
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def add_data(self, sample):
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"""
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Convert data given to the nearest power of two.
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"""
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sample_as_int = int(sample)
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if 0 == sample_as_int:
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bucket_idx = sample_as_int.bit_length()
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else:
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bucket_idx = (sample_as_int-1).bit_length()
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if bucket_idx > self._num_buckets:
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bucket_idx = self._num_buckets-1
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if sample_as_int > self._max_sample:
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self._max_sample = sample_as_int
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self._max_sample_date = datetime.datetime.now()
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self._sample_total += sample_as_int
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self._num_samples += 1
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self._average_sample = (self._sample_total / self._num_samples)
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self._buckets[bucket_idx] += 1
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def reset_data(self):
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"""
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Clear out the collected samples.
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"""
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self._reset_date = datetime.datetime.now()
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self._sample_total = 0
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self._num_samples = 0
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self._average_sample = None
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self._max_sample = -1
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self._max_sample_date = None
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for idx, _ in enumerate(self._buckets):
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self._buckets[idx] = 0
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def display_data(self):
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"""
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Output the histogram to a log.
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"""
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date_str = ""
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values_str = ""
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date_str += " created-date: %s" % self._created_date
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if self._reset_date is not None:
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date_str += " reset-date: %s" % self._reset_date
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values_str += " total: %s" % self._num_samples
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if self._average_sample is not None:
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values_str += " avg: %s" % self._average_sample
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if self._max_sample_date is not None:
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values_str += (" max: %s (%s)" % (self._max_sample,
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self._max_sample_date))
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LOG.info("%s" % '-' * 120)
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LOG.info("Histogram: %s" % self._name)
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LOG.info("%s" % date_str)
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if "" != values_str:
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LOG.info(" %s" % values_str)
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for idx, bucket_value in enumerate(self._buckets):
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if 0 != bucket_value:
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LOG.info(" %03i [up to %03i secs]: %07i %s"
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% (idx, math.pow(2, idx), bucket_value,
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'*' * min(60, bucket_value)))
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LOG.info("%s" % '-' * 120)
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_histograms = list()
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def _find_histogram(name):
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"""
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Lookup a histogram with a particular name
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"""
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for histogram in _histograms:
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if name == histogram.name:
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return histogram
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return None
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def add_histogram_data(name, sample):
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"""
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Add a sample to a histogram
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"""
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global _histograms
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histogram = _find_histogram(name)
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if histogram is None:
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histogram = Histogram(name, 8)
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_histograms.append(histogram)
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histogram.add_data(sample)
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def reset_histogram_data(name=None):
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"""
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Reset histogram data
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"""
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if name is None:
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for histogram in _histograms:
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histogram.reset_data()
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else:
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histogram = _find_histogram(name)
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if histogram is not None:
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histogram.reset_data()
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def display_histogram_data(name=None):
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"""
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Display histogram data captured
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"""
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if name is None:
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for histogram in _histograms:
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histogram.display_data()
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else:
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histogram = _find_histogram(name)
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if histogram is not None:
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histogram.display_data()
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